Estimation of Vertical Leaf Nitrogen Distribution Within a Rice Canopy Based on Hyperspectral Data
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Estimation of Vertical Leaf Nitrogen Distribution Within a Rice Canopy Based on Hyperspectral Data
Authors
Keywords
-
Journal
Frontiers in Plant Science
Volume 10, Issue -, Pages -
Publisher
Frontiers Media SA
Online
2020-02-13
DOI
10.3389/fpls.2019.01802
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Simulation of satellite reflectance data using high-frequency ground based hyperspectral canopy measurements for in-season estimation of grain yield and grain nitrogen status in winter wheat
- (2019) Lukas Prey et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Estimating Leaf Area Index with a New Vegetation Index Considering the Influence of Rice Panicles
- (2019) He et al. Remote Sensing
- Nitrogen Vertical Distribution and Status Estimation Using Spectral Data in Maize
- (2018) Lu Yan-Li et al. COMMUNICATIONS IN SOIL SCIENCE AND PLANT ANALYSIS
- Assessing leaf nitrogen concentration of winter oilseed rape with canopy hyperspectral technique considering a non-uniform vertical nitrogen distribution
- (2018) Lantao Li et al. INDUSTRIAL CROPS AND PRODUCTS
- Mapping spatial variability of foliar nitrogen in coffee ( Coffea arabica L.) plantations with multispectral Sentinel-2 MSI data
- (2018) Abel Chemura et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Impact of Vertical Canopy Position on Leaf Spectral Properties and Traits across Multiple Species
- (2018) Tawanda Gara et al. Remote Sensing
- Remote Estimation of Nitrogen Vertical Distribution by Consideration of Maize Geometry Characteristics
- (2018) Huichun Ye et al. Remote Sensing
- Canopy light and nitrogen distributions are related to grain yield and nitrogen use efficiency in rice
- (2017) Junfei Gu et al. FIELD CROPS RESEARCH
- Effect of Vertical Distribution of Crop Structure and Biochemical Parameters of Winter Wheat on Canopy Reflectance Characteristics and Spectral Indices
- (2017) Chunjiang Zhao et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Off-Nadir Hyperspectral Sensing for Estimation of Vertical Profile of Leaf Chlorophyll Content within Wheat Canopies
- (2017) Weiping Kong et al. SENSORS
- A meta-analysis of leaf nitrogen distribution within plant canopies
- (2016) Kouki Hikosaka et al. ANNALS OF BOTANY
- Methods for estimating leaf nitrogen concentration of winter oilseed rape ( Brassica napus L.) using in situ leaf spectroscopy
- (2016) Lantao Li et al. INDUSTRIAL CROPS AND PRODUCTS
- Examining view angle effects on leaf N estimation in wheat using field reflectance spectroscopy
- (2016) Xiao Song et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Hyperspectral phenotyping of the reaction of grapevine genotypes toPlasmopara viticola
- (2016) Erich-Christian Oerke et al. JOURNAL OF EXPERIMENTAL BOTANY
- Estimating the Total Nitrogen Concentration of Reed Canopy with Hyperspectral Measurements Considering a Non-Uniform Vertical Nitrogen Distribution
- (2016) Juhua Luo et al. Remote Sensing
- Light acclimation optimizes leaf functional traits despite height-related constraints in a canopy shading experiment
- (2015) Adam P. Coble et al. OECOLOGIA
- Variations in crop variables within wheat canopies and responses of canopy spectral characteristics and derived vegetation indices to different vertical leaf layers and spikes
- (2015) Heli Li et al. REMOTE SENSING OF ENVIRONMENT
- Remote Estimation of Leaf and Canopy Water Content in Winter Wheat with Different Vertical Distribution of Water-Related Properties
- (2015) Shishi Liu et al. Remote Sensing
- What is the most prominent factor limiting photosynthesis in different layers of a greenhouse cucumber canopy?
- (2014) Tsu-Wei Chen et al. ANNALS OF BOTANY
- Optimal nitrogen distribution within a leaf canopy under direct and diffuse light
- (2014) KOUKI HIKOSAKA PLANT CELL AND ENVIRONMENT
- Estimation of Nitrogen Vertical Distribution by Bi-Directional Canopy Reflectance in Winter Wheat
- (2014) Wenjiang Huang et al. SENSORS
- Using leaf spectral reflectance to monitor the effects of shading on nicotine content in tobacco leaves
- (2013) Fangfang Jia et al. INDUSTRIAL CROPS AND PRODUCTS
- Can exploiting natural genetic variation in leaf photosynthesis contribute to increasing rice productivity? A simulation analysis
- (2013) JUNFEI GU et al. PLANT CELL AND ENVIRONMENT
- Plant Nitrogen Assimilation and Use Efficiency
- (2012) Guohua Xu et al. Annual Review of Plant Biology
- Light–nitrogen relationships within reproductive wheat canopy are modulated by plant modular organization
- (2012) Jessica Bertheloot et al. EUROPEAN JOURNAL OF AGRONOMY
- Assessing the vertical footprint of reflectance measurements to characterize nitrogen uptake and biomass distribution in maize canopies
- (2012) Loïc Winterhalter et al. FIELD CROPS RESEARCH
- Non-uniform vertical nitrogen distribution within plant canopy and its estimation by remote sensing: A review
- (2012) Heli Li et al. FIELD CROPS RESEARCH
- Responses of leaf structure and photosynthetic properties to intra-canopy light gradients: a common garden test with four broadleaf deciduous angiosperm and seven evergreen conifer tree species
- (2012) Tomasz P. Wyka et al. OECOLOGIA
- Remote sensing of sagebrush canopy nitrogen
- (2012) Jessica J. Mitchell et al. REMOTE SENSING OF ENVIRONMENT
- How deep does a remote sensor sense? Expression of chlorophyll content in a maize canopy
- (2012) Veronica S. Ciganda et al. REMOTE SENSING OF ENVIRONMENT
- Temporal dynamics of light and nitrogen vertical distributions in canopies of sunflower, kenaf and cynara
- (2011) S.V. Archontoulis et al. FIELD CROPS RESEARCH
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now